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ai-singh07

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I Built an AI Agent Safety Net in 48 Hours — Here's Why Every Vibe Coder Needs One

If you're building AI agents with Cursor, Replit, or ChatGPT —
your agent can send emails, delete data, and spend money
without asking you first.

I learned this the hard way.

The problem

I built an agent that worked great in testing. Then I realized:
there's nothing stopping it from sending emails to real people
with hallucinated data, processing duplicate payments, or
deleting records it shouldn't touch.

I looked for a simple safety layer. Everything I found was
either enterprise compliance software ($$$) or required
rewriting my entire agent architecture.

So I built one

pip install autonomica

Then add one line above any function your agent can call:

from autonomica import govern

@govern(agent_id="my-bot")
def send_email(to, subject, body):
    # your existing code — nothing changes
    email_api.send(to, subject, body)
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That's it. Autonomica now watches every call and decides:

Risk level What happens Example
🟢 Low Goes through automatically Reading a database
🔵 Medium Goes through + you get alerted Sending an email
🟡 High Pauses for your approval $75K payment
🔴 Critical Blocked until you review Deleting records

The cool part: it learns

New agent → everything gets flagged (like a new employee on day 1)
After 50 good actions → it trusts routine tasks
Makes a mistake → guardrails tighten automatically

You don't configure any of this. It adapts.

The nerdy part (optional)

The architecture is inspired by the human autonomic nervous system.
Your brain makes ~35,000 decisions daily — 99.85% on autopilot,
only critical ones get escalated to conscious attention.
Autonomica does the same for your agents.

Numbers

  • Adds 0.1ms latency (invisible)
  • 436 tests passing
  • Apache 2.0 (free forever)
  • Works with any Python function, LangChain, CrewAI, AutoGen

Try it

pip install autonomica

GitHub: https://github.com/ai-singh07/autonomica

Built this in 48 hours with Claude Code, solo developer,
first open source project. Feedback welcome — especially
on what risk signals I'm missing.

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